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This is a fully funded PhD (fees and bursary) in experimental icing research. Fundamental understanding of droplet impact dynamics is integral to icing. The overall aim of this PhD is to use optical
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propellant space propulsion systems. A significant limiting factor of hybrid propulsion systems is the continuous change in surface area of the propellant grain during the combustion process. This changing O/F
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the ability to use a microscope and work with scanned images are all desirable. Support: REP student will work closely with Julija Fediajevaite (PhD student) and members of the Soil Ecology Group. JF will
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Provide human experts with a reliable second opinion This project integrates image processing, data analytics, machine learning, and computational modelling, with applications in aerospace, mechanical
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or sensor arrays. Experience generating, processing and analysing large material property datasets including correlating between multiple techniques, or developing computational reconstruction techniques
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This 4 year PhD project is fully funded and home students, and EU students with settled status, are eligible to apply. The successful candidate will received an annual tax free stipend set at
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related PhD projects on behavioural change and weight loss. The successful doctoral candidate will lead a randomised controlled trial, including participant recruitment and coordination of laboratory
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outputs for publication in medical journals. Master cutting-edge laboratory assessments of health and imaging using 3 Tesla MRI scanning to investigate skeletal muscle and energy metabolism biomarkers
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generator. Expose them to subzero temperatures to induce freezing. Fragmentation Observation: Use high-speed cameras and laser imaging systems to record and analyze the freezing process and the resulting
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knowledge of human brain function and to use this knowledge to help people with psychiatric and neurological disorders. Our research integrates multimodal brain imaging techniques with novel neuromodulation